Performance based cost models for improving web service efficiency through dynamic relocation

Authors:
Dennis Pratistha;Arkady Zaslavsky;Simon Cuce;Martin Dick
Affiliations:
School of Computer Science and Software Engineering, Monash University, Australia;School of Computer Science and Software Engineering, Monash University, Australia;School of Computer Science and Software Engineering, Monash University, Australia;School of Business Information Technology, RMIT University, Australia
Venue:
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
Year:
2005

Citing 2
Cited 0

Application run time estimation: a quality of service metric for web-based data mining services

Proceedings of the 2002 ACM symposium on Applied computing
Fluid: supporting a transportable and adaptive web service

Proceedings of the 2004 ACM symposium on Applied computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The performance and quality of a web service are important factors and are expected by parties utilizing the service. This paper proposes and implements a cost efficiency solution to cater for web services in a unique set of situation. The solution is designed for web services that have frequent user groups scattered in various geographic locations, without the existence of access patterns. This optimization solution is developed for the Fluid Infrastructure methodology. Its main emphasis is fundamentally to provide a mechanism that is capable of reacting to various problems (operational and performance related) in an efficient and autonomous manner. Discussions within this paper focus on the algorithms that are used to compute the efficiency metrics and implementation issues of the solution. Further, evaluation of these solutions are also demonstrated and validated.